Company

Easy AuthoringSee more

addressAddressCanberra
CategoryMechanical

Job description

  • 12-month contract with potential extension
  • Attractive daily rate
  • Canberra or Offsite (remote)
Easy Authoring is seeking an experienced Machine Learning Engineer work on diverse projects that deliver advanced tools and services for internal and external stakeholders.

Purpose of the role:
The role works on diverse projects that deliver advanced tools and services for internal and external stakeholders. Tools and services developed often leverage Natural Language Processing, Deep Learning, Multi-label Classification and other machine learning techniques.

Key Accountabilities:
  • Experience applying machine learning techniques within software development.
  • Experience writing high quality Python code.
  • Experience with MLOps or DevOps.
  • Experience working as part of a team.
  • Relevant experience and/or qualifications in data science and software engineering.
  • Delivering innovative AI/ML production solutions to solve complex business problems.
  • Researching, designing, implementing, testing, and monitoring AI/ML solutions
  • Building AI/ML models from scratch and helping product managers and stakeholders understand results.
  • Delivering effective documentation and presentations to technical teams and stakeholders
  • Building new and improving existing MLOps pipelines
Essential criteria:
  • Experience in AI/ML technologies and proven ability to deliver successful Machine Learning models, proof-of-concepts, and AI solutions using techniques and technologies such as Natural Language Processing, Deep Learning, Classification, and Image Recognition 40%
  • Experience in MLOps or DevOps 40%
  • Experience in full stack development 20%
Desirable criteria:
  • Effective communication skills with ability to explain or translate complex models and findings to business stakeholders.
  • Experience with commercial cloud platforms (AWS, Azure, GCP)
  • Relevant ICT qualifications and / or Industry certifications, and experience in DevOps and MLOps product lifecycle from inception to production.
The department is based in Canberra, where the successful candidate can work from the office with flexible arrangements. Remote working (offsite) will also be considered for the successful candidate. If based offsite, the candidate would be expected come to the office initially for on boarding (1-2 days) and up to 4 times per year for team meetings at their own expense.

If this sounds like you, please submit your resume along with (approx.) one page selection criteria (addressing essential and desirable criteria above) by clicking the 'Apply Now’ button. For further information about this role, please contact Nishant on 0480 029 303 or email nishant@easyauthoring.com

About Easy Authoring:
Established in 2006, Easy Authoring helps job seekers find the right opportunity to match their skill set and aide career progression. We are the authorised suppliers to NSW, ACT, QLD and Federal government as well as multiple corporate organisations to provide contingent labour for various business functions including: ICT, Project Management, Change Management, Learning design along with a broad range of other business focused positions.
Refer code: 294559. Easy Authoring - The previous day - 2023-11-05 10:05

Easy Authoring

Canberra
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